AI Mastery · Field guide 04
AI Security
A practical guide to threat modeling and security testing for LLM apps and agents—from the right red-team harness to privacy-preserving inference research.
Security from the harness outward
AI Security
Learn to map the attack surface of AI applications, build realistic red-team harnesses, and protect the tools, data, and users around an LLM.
- Test direct and indirect prompt injection
- Probe tool access, data leakage, and agent overreach
- Design repeatable, isolated red-team harnesses
- Compare private inference approaches and research frontiers
Coverage will include homomorphic encryption and emerging polymorphic-encryption ideas for LLMs, with practical controls distinguished from experimental research.
Coming soon · Not available for purchase yet.